Imaging Spectrometry for Earth Remote Sensing, Science, vol.228, issue.4704, pp.1147-1153, 1985. ,
DOI : 10.1126/science.228.4704.1147
Recent advances in techniques for hyperspectral image processing, Remote Sensing of Environment, vol.113, pp.110-122, 2009. ,
DOI : 10.1016/j.rse.2007.07.028
URL : https://hal.archives-ouvertes.fr/hal-00178888
Three decades of hyperspectral remote sensing of the Earth: A personal view, Remote Sensing of Environment, vol.113, pp.5-16, 2009. ,
DOI : 10.1016/j.rse.2007.12.014
Earth system science related imaging spectroscopy???An assessment, Remote Sensing of Environment, vol.113, pp.123-137, 2009. ,
DOI : 10.1016/j.rse.2009.03.001
Hyperspectral Remote Sensing Data Analysis and Future Challenges, IEEE Geoscience and Remote Sensing Magazine, vol.1, issue.2, pp.6-36, 2013. ,
DOI : 10.1109/MGRS.2013.2244672
International Spaceborne Imaging Spectroscopy (ISIS) Technical Committee [Technical Committees], IEEE Geoscience and Remote Sensing Magazine, vol.2, issue.1, pp.18-21, 2014. ,
DOI : 10.1109/MGRS.2014.2303417
Compact reconnaissance imaging spectrometer for MARS (CRISM), 2011 IEEE International Geoscience and Remote Sensing Symposium, pp.4078-4079, 2011. ,
DOI : 10.1109/IGARSS.2011.6050128
Restoration of Astrophysical Spectra With Sparsity Constraints: Models and Algorithms, IEEE Journal of Selected Topics in Signal Processing, vol.5, issue.5, pp.1002-1013, 2011. ,
DOI : 10.1109/JSTSP.2011.2147278
URL : https://hal.archives-ouvertes.fr/hal-00980638
Nonnegative matrix and tensor factorizations: applications to exploratory multi-way data analysis and blind source separation, 2009. ,
DOI : 10.1002/9780470747278
Tensors : A brief introduction, IEEE Signal Processing Magazine, vol.31, issue.3, pp.44-53, 2014. ,
DOI : 10.1109/MSP.2014.2298533
URL : https://hal.archives-ouvertes.fr/hal-00923279
The Expression of a Tensor or a Polyadic as a Sum of Products, Journal of Mathematics and Physics, vol.6, issue.1-4, pp.165-189, 1927. ,
DOI : 10.1002/sapm192761164
Towards a standardized notation and terminology in multiway analysis, Journal of Chemometrics, vol.56, issue.3, pp.105-122, 2000. ,
DOI : 10.1002/1099-128X(200005/06)14:3<105::AID-CEM582>3.0.CO;2-I
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.5, issue.2, pp.354-379, 2012. ,
DOI : 10.1109/JSTARS.2012.2194696
URL : https://hal.archives-ouvertes.fr/hal-00760787
Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models, Remote Sensing of Environment, vol.65, issue.3, pp.267-279, 1998. ,
DOI : 10.1016/S0034-4257(98)00037-6
Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery, IEEE Transactions on Signal Processing, vol.57, issue.11, pp.4355-4368, 2009. ,
DOI : 10.1109/TSP.2009.2025797
URL : https://hal.archives-ouvertes.fr/hal-00548758
Adaptive Markov Random Fields for Joint Unmixing and Segmentation of Hyperspectral Images, IEEE Transactions on Image Processing, vol.22, issue.1, pp.5-16, 2013. ,
DOI : 10.1109/TIP.2012.2204270
Fast Decomposition of Large Nonnegative Tensors, IEEE Signal Processing Letters, vol.22, issue.7, pp.862-866, 2015. ,
DOI : 10.1109/LSP.2014.2374838
URL : https://hal.archives-ouvertes.fr/hal-01069069
Tensor methods for hyperspectral data analysis: a space object material identification study, Journal of the Optical Society of America A, vol.25, issue.12, pp.3001-3012, 2008. ,
DOI : 10.1364/JOSAA.25.003001
Tensor Discriminative Locality Alignment for Hyperspectral Image Spectral???Spatial Feature Extraction, IEEE Transactions on Geoscience and Remote Sensing, vol.51, issue.1, pp.242-256, 2013. ,
DOI : 10.1109/TGRS.2012.2197860
Nonorthogonal Tensor Matricization for Hyperspectral Image Filtering, IEEE Geoscience and Remote Sensing Letters, vol.5, issue.1, pp.3-7, 2008. ,
DOI : 10.1109/LGRS.2007.905117
URL : https://hal.archives-ouvertes.fr/hal-00167856
Improvement of Classification for Hyperspectral Images Based on Tensor Modeling, IEEE Geoscience and Remote Sensing Letters, vol.7, issue.4, pp.801-805, 2010. ,
DOI : 10.1109/LGRS.2010.2048696
Classification of hyperspectral images by tensor modeling and additive morphological decomposition, Pattern Recognition, vol.46, issue.2, pp.566-577, 2013. ,
DOI : 10.1016/j.patcog.2012.08.011
URL : https://hal.archives-ouvertes.fr/hal-00751338
Multilinear spectral unmixing of hyperspectral multiangle images, 2015 23rd European Signal Processing Conference (EUSIPCO), 2015. ,
DOI : 10.1109/EUSIPCO.2015.7362482
URL : https://hal.archives-ouvertes.fr/hal-01158900
Nonnegative ranks, decompositions, and factorizations of nonnegative matrices, Linear Algebra and its Applications, vol.190, pp.149-168, 1993. ,
DOI : 10.1016/0024-3795(93)90224-C
Nonnegative approximations of nonnegative tensors, Journal of Chemometrics, vol.36, issue.3, pp.432-441, 2009. ,
DOI : 10.1002/cem.1244
URL : https://hal.archives-ouvertes.fr/hal-00410056
An Algorithm For Generic and Low-Rank Specific Identifiability of Complex Tensors, SIAM Journal on Matrix Analysis and Applications, vol.35, issue.4, pp.1265-1287, 2014. ,
DOI : 10.1137/140961389
Uniqueness of Nonnegative Tensor Approximations, IEEE Transactions on Information Theory, vol.62, issue.4, pp.1410-8129, 2014. ,
DOI : 10.1109/TIT.2016.2532906
URL : https://hal.archives-ouvertes.fr/hal-01015519
A weighted non-negative least squares algorithm for three-way ???PARAFAC??? factor analysis, Chemometrics and Intelligent Laboratory Systems, vol.38, issue.2, pp.223-242, 1997. ,
DOI : 10.1016/S0169-7439(97)00031-2
Multi-way analysis in the food industry: models, algorithms, and applications, 1998. ,
A Multilinear Singular Value Decomposition, SIAM Journal on Matrix Analysis and Applications, vol.21, issue.4, pp.1253-1278, 2000. ,
DOI : 10.1137/S0895479896305696
Parallel Randomly Compressed Cubes : A scalable distributed architecture for big tensor decomposition, IEEE Signal Processing Magazine, vol.31, issue.5, pp.57-70, 2014. ,
DOI : 10.1109/MSP.2014.2329196
Decomposition of big tensors with low multilinear rank, 2014. ,
Parallel Algorithms for Constrained Tensor Factorization via Alternating Direction Method of Multipliers, IEEE Transactions on Signal Processing, vol.63, issue.20, 2014. ,
DOI : 10.1109/TSP.2015.2454476
Numerical optimization, 1999. ,
Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, pp.1-4, 2010. ,
DOI : 10.1109/WHISPERS.2010.5594963
Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing, IEEE Signal Processing Magazine, vol.31, issue.1, pp.95-104, 2014. ,
DOI : 10.1109/MSP.2013.2279177
Since 2012, he is a posdoctoral researcher at the Images-Signal department in the GIPSA-lab His current main research activities focus in the analysis of hyperspectral images by means of computational intelligence, statistical techniques and tensor data analysis. He is a Reviewer of, Donostia, Spain, in 2005 and 2012 respectively EARTH OBSERVATIONS AND REMOTE SENSING and the IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING ,
with both a mathematical engineering master degree and a research master degree in telecommunications in 2013 He worked at Imai's Laboratory at the University of Tokyo on quantum computation applied to communication. He is currently a Ph.D student at GIPSA-Lab under the supervision of Pierre Comon. His domains of interest are tensor decomposition applied to environemental data mining, but also information theory, optimization and quantum computation ,
He received the B.Sc. degree in electrical engineering from the Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil, and from the Grenoble Institute of Technology (Grenoble-INP) He received the M.Sc and Ph.D. degree in signal processing from Grenoble-INP and Grenoble University in 2009 and 2013 respectively. He is currently working as a post doctoral researcher at the GIPSA-Lab His research concerns statistical signal processing, digital communications, sensor networks and tensor methods for signal processing, 1986. ,
12) received the M.Sc. degree in electrical engineering from the Grenoble Institute of Technology (Grenoble INP) he was with the Geography Imagery Perception Laboratory for the Delegation Generale de l'Armement (DGA -French National Defense Department ) Since 1999, he has been with Grenoble INP, where he was an Assistant Professor from, Ph.D. degree from Savoie University, 1995. ,
Since 2011, he is the Editor-in- Chief of the, 2013, he was a Guest Editor for the PROCEEDINGS OF THE IEEE and in 2014 a Guest Editor for the IEEE SIGNAL PROCESSING MAGAZINE. He is a, 2007. ,
He later received the Habilitation to Lead Researches in 1995 He has been for nearly 13 years in industry, first with Crouzet-Sextant He spent 1987 with the ISL laboratory He joined in 1997 the Eurecom Institute He is research director with CNRS since 1998, first at laboratory I3S His research interests include Blind techniques, Statistical Signal and Array Processing, Tensor decompositions, Multi-Way Factor Analysis and its applications to biomedical end environment. Dr. Comon was Associate Editor of the IEEE Transactions on Signal Processing from 1995 to 1998, and a member of the French National Committee of Scientific Research from, Pierre Comon (M'87 ? SM'95 ? F'07) graduated in 1982, and received the Doctorate degree He was the coordinator of the European Basic Research Working Group on High-Order Statistics, ATHOS, from he acted as launching Associate Editor with the IEEE Transactions on Circuits and Systems I, in the area of Blind Techniques. Ha has also been a member of the editorial board of the Elsevier journal Signal Processing, and member of several IEEE TC. He is presently in the editorial board of SIAM Journal on Matrix Analysis and Applications, 1982. ,